About Client:
A large-scale real estate property management firm, overseeing thousands of residential units, where business success is driven by one key metric: occupancy.
Background:
Before introducing smart technology, the client struggled with identifying two critical scenarios:
- Skippers – tenants who abandon a property without notice.
- Squatters – unauthorized occupants taking over a property.
Traditionally, property managers discovered these situations only after rent delays, neighbor complaints, or visual checks. This manual, reactive system often meant weeks, sometimes months of lost rental income, unnecessary inspections, and increased security risks.
Challenge:
- Inefficiency & High Cost: Sending managers to physically inspect thousands of properties drained resources.
- Delayed Detection: Vacancies could go unnoticed for weeks, compounding rental losses.
- Lack of Data Utilization: Despite installing smart devices, the rich data remained siloed and unused.
- Risk Exposure: Undetected squatters increased liability and security risks.
The challenge was clear: Could the company harness IoT data to predict and act before revenue losses occurred?
